Join Our Team as a Data Engineer in Amazon Prime

Amazon Prime’s Science organization is at the forefront of pioneering Research & Development in the quest for global innovation. As a central pillar of Amazon's consumer business, Amazon Prime reaches more than 200 million members across 25 countries, continuously driving growth and customer satisfaction. Here at Prime Science, we utilize cutting-edge advancements in Artificial Intelligence and Economics to craft sophisticated algorithms and systems for marketing automation, personalization, and strategic decision-making.

We are currently seeking a Data Engineer to join our elite engineering team within Prime Science, tasked with solving complex scientific and engineering challenges at Amazon’s renowned scale. This is your chance to work alongside top-tier scientists to design and deploy fully automated, scalable, and robust solutions powered by the data architectures you develop.

Do You Aspire to:

• Collaborate with the world’s leading engineers on massive-scale projects?
• Influence the experiences of over 200 million global Prime members?
• Master the latest AWS and big data technologies to build innovative science products?
• Use extensive data to drive impactful business decisions?

If so, we invite you to apply to our team and make a significant impact at Amazon!

Key Job Responsibilities:

• Construct large-scale data pipelines for machine learning applications across Amazon.
• Enhance data engineering infrastructure using cutting-edge tools such as AWS Glue, Spark, AWS EMR, and Ray.
• Elevate data quality monitoring and alarming systems for big data pipelines.
• Improve predictive models and data pipelines, enriching the customer experiences of millions worldwide.

A Day in the Life:

As a Data Engineer, engage deeply with our business leaders, scientists, and engineering teams to craft innovative data solutions. Utilize top AWS technologies to develop new systems addressing challenges on a grand scale. You’ll handle terabyte-sized datasets and facilitate seamless data orchestration across diversified platforms, enhancing our cutting-edge scientific models and applications.

About the Team:

Our world-class team is driven by the vision to integrate Prime Science globally across all Amazon platforms to deliver unparalleled customer experiences. We’re uniquely positioned at the nexus of scaling sophisticated engineering systems and integrating novel scientific methodologies (like econometrics and ML), providing solutions that captivate and satisfy our vast customer base.

Preferred Locations:

• Seattle, WA, USA

Qualifications:

Basic:

• 1+ years of data engineering experience.
• Proven expertise in data modeling, warehousing, and ETL pipeline construction.
• Proficiency in SQL and other querying languages such as PL/SQL, HiveQL.
• Experience with scripting languages like Python or KornShell.

Preferred:

• Familiarity with big data technologies (Hadoop, Hive, Spark, EMR).
• In-depth knowledge of AWS Infrastructure.

At Amazon, we believe in a diverse and inclusive workplace and are committed to equal employment opportunities regardless of race, gender, or other protected statuses. For more details on our compensation and benefits, visit . We encourage talented individuals passionate about big data and AI to apply for our Data Engineer position and accelerate their careers!

This position is open until filled. Feel free to apply through our internal or external career sites.

Ready to Innovate at Scale?

Apply now and redefine the future of consumer engagement and technology with Amazon Prime.